The PLA is already testing technologies that range from widespread sensors to AI-enabled predictive planning, cargo drones, ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...
Researchers developed a data-driven framework for autonomous tomato harvesting, improving success rates through YOLOv8-based ...
The history of human progress is, in many ways, the history of technology’s diffusion. Among these advances, a few—what economists call general-purpose technologies—have had the greatest impact on ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...
A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome ...
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